Integrated Digital Governance and Sustainability Management in Higher Education: Evidence from a Central Asian Technical University

The growing implementation of the United Nations Sustainable Development Goals (SDGs) has increased the importance of sustainable transformation in higher education institutions. Universities are increasingly expected to integrate environmental management, digital technologies, governance, education, and community engagement into unified sustainability frameworks. However, integrated sustainability management models for technical universities in emerging economies remain insufficiently explored. This study analyzes the long-term transformation of the EKTU Green Campus project at D. Serikbayev East Kazakhstan Technical University (Kazakhstan) during 2018–2025. The research is based on methodological triangulation combining institutional statistical data, official UI GreenMetric methodologies and indicators, university sustainability reports, and verified ranking results. The study examines the interaction between Smart Campus technologies, digital governance, sustainability-oriented education, environmental management, and campus infrastructure modernization. The results indicate substantial progress across multiple dimensions of institutional sustainability, including energy efficiency, digital sustainability governance, renewable energy implementation, sustainable transportation, circular economy practices, and education and research indicators. The findings suggest that Smart Campus technologies and digital monitoring systems can function as core instruments of institutional sustainability management rather than solely as technical infrastructure solutions. The EKTU Green Campus experience provides a practical reference for sustainability transformation in technical universities in Central Asia and other developing regions, while acknowledging that its applicability may depend on local institutional and socio-economic contexts. The study is limited by its single-case design and its reliance on institutional and ranking data, which may affect the generalizability of the findings.